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press-release-archiver
press-release-archiver enthält 3 gesammelte Skills von nemock, mit Repository-Berufsabdeckung und Skill-Detailseiten auf SkillsMP.
Skills in diesem Repository
Compile every press release ever issued by a public company into a structured local markdown archive (per-release files + a top-level INDEX.md). Use when the user wants to "archive press releases for [Company]", "study [Company]'s PR strategy", "build a corpus of [Company]'s announcements", or wants offline-resilient access to a competitor's wire history. Works best on US-listed companies (SEC EDGAR is the most reliable source); pre-IPO archives are sparser. Requires curl + python3. Optional Chrome Connector (Claude Desktop) for releases that aren't in EDGAR or Wayback Machine.
Reverse-engineer the PR strategy of a public company from a structured press-release archive (the output of press-release-archiver). Produces a strategic playbook with credibility-ladder analysis, drumbeat patterns, stakeholder orchestration, and foundation-phase plays — designed for early-stage companies (seed → Series A → pre-IPO) who want to learn from how mature companies built their narrative. Supports single-company analysis OR comparative analysis with stage alignment (e.g., "what was Globex Corp doing in its first 5 years post-IPO, vs. Acme Medtech in its first 5?"). Token-conscious: deterministic Python computes stats, then YOU (Claude, in this conversation) synthesize the strategic narrative directly.
Turn a strategic PR-analysis playbook (the output of press-release-analyzer) into a recording-optimized HTML slide presentation, ending with concrete recommendations for the client's own PR strategy. Single self-contained HTML file with keyboard navigation, dark theme, big numbers, comparison layouts, timelines, and chapter sidebar. The closing chapter is always client-facing recommendations the user can hand to a seed → Series A → pre-IPO company. Sibling skill to press-release-archiver and press-release-analyzer.